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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

3.9K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
3.9K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

977
Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
977
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

9.5K
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
9.5K
Instrumentation Amplifier01:25

Instrumentation Amplifier

778
An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
778
Pulse rhythm01:30

Pulse rhythm

1.0K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.0K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

6.0K
An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
6.0K

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Related Experiment Video

Updated: Oct 19, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

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Application of artificial intelligence to the electrocardiogram.

Zachi I Attia1, David M Harmon2, Elijah R Behr3,4

  • 1Department of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.

European Heart Journal
|September 17, 2021
PubMed
Summary

Artificial intelligence (AI) enhances electrocardiogram (ECG) diagnostics, identifying cardiac and non-cardiac diseases in asymptomatic individuals. This technology, leveraging big data, promises scalable healthcare through AI-powered ECGs on smartphones and wearables.

Keywords:
Artificial intelligenceDigital healthElectrocardiogramsMachine learning

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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Related Experiment Videos

Last Updated: Oct 19, 2025

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Area of Science:

  • Cardiology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Electrocardiogram (ECG) is a ubiquitous, non-invasive cardiac test.
  • Artificial intelligence (AI) offers enhanced diagnostic capabilities for ECG interpretation.
  • AI algorithms learn subclinical patterns from large datasets without predefined rules.

Purpose of the Study:

  • To review the mathematical background of supervised AI algorithms in ECG analysis.
  • To discuss AI ECG screening algorithms for various cardiac conditions.
  • To explore AI's potential in detecting non-cardiac diseases and democratizing healthcare.

Main Methods:

  • Description of supervised AI mathematical principles.
  • Discussion of selected AI ECG algorithms for cardiac screening.
  • Analysis of AI's application in identifying non-cardiac diseases.

Main Results:

  • AI enables super-human diagnostic abilities for ECG interpretation.
  • AI transforms ECGs into screening tools for cardiac and non-cardiac diseases.
  • AI facilitates detection of conditions like left ventricular dysfunction and atrial fibrillation.

Conclusions:

  • AI-ECG holds potential for early disease detection in asymptomatic individuals.
  • Validation in real-world clinical settings is crucial for AI-ECG adoption.
  • Mobile ECGs with AI may enable massive scalability and democratize healthcare access.